Coupled Active Contours for Clue Cell Segmentation from Fluorescence Microscopy Images

Yongjian Yu, Jue Wang

2021

Abstract

Bacterial vaginosis (BV) increases the risk for preterm birth. Immunofluorescent assay provides accurate counting of the clue cells. However, the massive data make it challenging to manually interpret. Towards automatic BV diagnostics, we present a coupled active contour method for segmenting the clue cells using dual-resolution, dual-channel microscopy. The method is formulated in the level set and parametric frameworks. A fast search locates potential clue cells in the low-resolution scan. Each cell is then imaged at high-resolution. The clue cells are segmented and quantified. The efficacy of the method is demonstrated using clinical data. Our method effectively delineates the boundaries of the cell and its nucleus simultaneously. It is efficient and practical. The clue cell detection results indicate a high accuracy for BV diagnosis.

Paper Citation

in Harvard Style

Yu Y. and Wang J. (2021). Coupled Active Contours for Clue Cell Segmentation from Fluorescence Microscopy Images. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 2: BIOIMAGING; ISBN 978-989-758-490-9, SciTePress, pages 144-151. DOI: 10.5220/0010265300002865

in Bibtex Style

@conference{bioimaging21,
author={Yongjian Yu and Jue Wang},
title={Coupled Active Contours for Clue Cell Segmentation from Fluorescence Microscopy Images},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 2: BIOIMAGING},
year={2021},
pages={144-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010265300002865},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 2: BIOIMAGING
TI - Coupled Active Contours for Clue Cell Segmentation from Fluorescence Microscopy Images
SN - 978-989-758-490-9
AU - Yu Y.
AU - Wang J.
PY - 2021
SP - 144
EP - 151
DO - 10.5220/0010265300002865
PB - SciTePress